autoresearch 1budgeted training 1confidence cliff 1llm judging 1selective accuracy 1self-improving code 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.AI2026
Rehearse: Stepping Back from the Confidence Cliff in Self-Improving Autoresearch
Jiazhen Ji, Shouhong Ding
The paper studies how self‑improving autoresearch systems become less reliable at judging proposed code changes over time (the "confidence cliff") and introduces Rehearse, a lightw…
cs.CV2025
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR
Zhengyuan Peng, Jianqing Xu, Shen Li +8
Human-machine interaction through augmented reality (AR) and virtual reality (VR) is increasingly prevalent, requiring accurate and efficient gaze estimation which hinges on the ac…
cs.CV2024
ID: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
Shen Li, Jianqing Xu, Jiaying Wu +7
Synthetic face recognition (SFR) aims to generate synthetic face datasets that mimic the distribution of real face data, which allows for training face recognition models in a priv…